Preparing your Path…
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Path Catalog
Data is pulled live from GET /api/v1/paths, and only Paths with a published version are listed.
7801 Paths · page 293 / 781
This advanced learning path equips senior and graduate students with the engineering knowledge and skills to design, evaluate, and apply orthopedic implants and prosthetics. It covers the biomechanics of bone and joints, biomaterials, implant design principles, and the clinical translation process, culminating in a capstone project.
This advanced learning path equips senior and graduate students with the knowledge to apply engineering principles to cardiovascular systems. It covers essential physiology, biomechanics, hemodynamics, and the design of heart valves, stents, and assist devices, culminating in device integration and career-relevant skills.
This learning path equips senior and graduate students with the knowledge and skills to process and analyze medical images, covering foundational image processing, segmentation, registration, feature extraction, and deep learning techniques. It emphasizes practical application with Python and medical imaging libraries, preparing learners for careers in biomedical engineering.
This learning path equips senior and graduate students in biomedical engineering with the computational skills needed to model, simulate, and analyze biomedical systems. Starting with essential mathematics and programming, it progresses through data analysis, machine learning, and computational modeling, culminating in an integrative capstone project.
This graduate-level path equips learners to develop rigorous biomechanical models by integrating continuum mechanics, constitutive modeling of biological tissues, and finite element methods. It emphasizes the mathematical foundations, experimental characterization, and computational implementation necessary for credible simulations.
This graduate-level learning path in biomedical engineering systematically develops the knowledge required to model physiological systems as control systems. It covers foundational physiology of key regulatory systems, essential control theory, and the integration of these domains through modeling and simulation. The path culminates in advanced topics such as nonlinear and multi-scale modeling, preparing learners to analyze and design physiological control models.
This graduate-level learning path equips learners with the analytical tools to quantify diffusion, convection, and permeation in biological tissues. It builds from foundational fluid mechanics and mass transfer through advanced tissue-scale modeling, integrating cross-domain knowledge of physiology and transport phenomena.
This advanced learning path equips senior biomedical engineering students with the knowledge and skills to understand, design, and evaluate robotic systems in healthcare. It covers essential robotics and anatomy fundamentals, progresses through control and safety engineering, and culminates in the study of surgical and assistive robots, including human-robot interaction and clinical translation.
This learning path equips senior biomedical engineering students with the knowledge to design and analyze advanced drug delivery systems, focusing on controlled release, targeted delivery, and nanoparticle-based carriers. It integrates core principles from biomaterials, transport phenomena, and biological barriers to enable rational design and evaluation.
This learning path guides senior biomedical engineering students through the foundational principles and practical applications of neural interfaces, from neurophysiology to signal processing and neuroprosthetics. It covers the origin of neural signals, electrode technologies, signal acquisition and processing, and the design of brain-computer interfaces and neuroprosthetic systems.